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[SPARK-24172][SQL]: Push projection and filters once when converting to physical plan. #21262

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rdblue
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@rdblue rdblue commented May 8, 2018

What changes were proposed in this pull request?

This removes PruneFileSourcePartitions and moves projection and filter push-down to DataSourceV2Strategy. This accomplishes the same goal as #21230 and only runs the push-down once by not using transformUp to traverse the plan.

Unlike #21230, this moves pushdown to the v2 strategy to match the way pushdown happens for other code paths: when creating a physical plan from a logical plan. This was suggested by @marmbrus in #20387, but not implemented at the time. The same concern from that PR still applies to this commit: pushdown is not applied until conversion to a physical plan, so computeStats can't report stats after filtering or projecting.

A benefit of this approach is that the DataSourceV2Relation is simpler and the relation's output is constant.

How was this patch tested?

This uses existing tests.

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SparkQA commented May 8, 2018

Test build #90346 has finished for PR 21262 at commit 7497cc2.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

@rdblue rdblue closed this Jun 26, 2018
@rdblue rdblue deleted the SPARK-24172-v2-pushdown-in-strategy branch June 26, 2018 18:06
jzhuge pushed a commit to jzhuge/spark that referenced this pull request Mar 7, 2019
…onversion

This removes the v2 optimizer rule for push-down and instead pushes filters and required columns when converting to a physical plan, as suggested by marmbrus. This makes the v2 relation cleaner because the output and filters do not change in the logical plan.

A side-effect of this change is that the stats from the logical (optimized) plan no longer reflect pushed filters and projection. This is a temporary state, until the planner gathers stats from the physical plan instead. An alternative to this approach is rdblue@9d3a11e.

The first commit was proposed in apache#21262. This PR replaces apache#21262.

Existing tests.

Author: Ryan Blue <[email protected]>

Closes apache#21503 from rdblue/SPARK-24478-move-push-down-to-physical-conversion.

(cherry picked from commit 22daeba)

Conflicts:
	sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Relation.scala
	sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
	sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/PushDownOperatorsToDataSource.scala
rdblue added a commit to rdblue/spark that referenced this pull request Apr 3, 2019
…onversion

This removes the v2 optimizer rule for push-down and instead pushes filters and required columns when converting to a physical plan, as suggested by marmbrus. This makes the v2 relation cleaner because the output and filters do not change in the logical plan.

A side-effect of this change is that the stats from the logical (optimized) plan no longer reflect pushed filters and projection. This is a temporary state, until the planner gathers stats from the physical plan instead. An alternative to this approach is 9d3a11e.

The first commit was proposed in apache#21262. This PR replaces apache#21262.

Existing tests.

Author: Ryan Blue <[email protected]>

Closes apache#21503 from rdblue/SPARK-24478-move-push-down-to-physical-conversion.
jzhuge pushed a commit to jzhuge/spark that referenced this pull request Oct 15, 2019
…onversion

This removes the v2 optimizer rule for push-down and instead pushes filters and required columns when converting to a physical plan, as suggested by marmbrus. This makes the v2 relation cleaner because the output and filters do not change in the logical plan.

A side-effect of this change is that the stats from the logical (optimized) plan no longer reflect pushed filters and projection. This is a temporary state, until the planner gathers stats from the physical plan instead. An alternative to this approach is rdblue@9d3a11e.

The first commit was proposed in apache#21262. This PR replaces apache#21262.

Existing tests.

Author: Ryan Blue <[email protected]>

Closes apache#21503 from rdblue/SPARK-24478-move-push-down-to-physical-conversion.

(cherry picked from commit 22daeba)

Conflicts:
	sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Relation.scala
	sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
	sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/PushDownOperatorsToDataSource.scala
otterc pushed a commit to linkedin/spark that referenced this pull request Mar 22, 2023
…onversion

This removes the v2 optimizer rule for push-down and instead pushes filters and required columns when converting to a physical plan, as suggested by marmbrus. This makes the v2 relation cleaner because the output and filters do not change in the logical plan.

A side-effect of this change is that the stats from the logical (optimized) plan no longer reflect pushed filters and projection. This is a temporary state, until the planner gathers stats from the physical plan instead. An alternative to this approach is rdblue@9d3a11e.

The first commit was proposed in apache#21262. This PR replaces apache#21262.

Existing tests.

Author: Ryan Blue <[email protected]>

Closes apache#21503 from rdblue/SPARK-24478-move-push-down-to-physical-conversion.

Ref: LIHADOOP-48531

RB=1850239
G=superfriends-reviewers
R=zolin,yezhou,latang,fli,mshen
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2 participants